25. Aug. 2018
Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.
9. Sep. 2019
Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.
von tharun n•
8. Juni 2021
A great course with a lot of applications and visual explanations of basis, matrices etc. I really liked the approach used by the profs, explaining why we need to learn this rather than giving a bunch of equations and leaving us to figure out rest ( the way they teach in schools ).
von Alexander Z•
25. Aug. 2019
Very much recommend this course for absolute beginners seeking to refresh/learn math required for machine learning.
Don't be afraid to start and focus on learning instead of going through the material.
Practice exercise you've done several times and return to your notes. Good luck!
von Alok N•
14. Apr. 2020
Great course! Linear algebra is a very vast subject. This course helped me getting the idea of topics I need in machine learning algorithms. This course is very helpful in revisiting the linear algebra to those who have taken this subject in his/her college in very short time.
von David N•
30. März 2021
Excellent course. I was nervous starting the course, as I can find maths challenging, but I actually really enjoyed it and it has given me more confidence. In this course there is a focus on understanding what is being done and its applications, which is exactly what I wanted.
von Wade W•
12. Juli 2019
It's a worth-taking course. But you'd better have some linear algebra background. Like me, a student in China, we learn all things with out geometric insight, it will be very difficult for you to take the course through out.
All in all, worth-taking. Give me many fresh airs.
von Dan L•
29. Sep. 2019
I actually studied Maths at undergrad and was using this as a catchup after many years - it wasn't taught nearly anywhere near as well as this. More lecturers should focus on the concepts first, and then the formulae to give context. A great course, highly recommended!
von Anubhab G•
6. Juni 2018
Well-paced, engaging and highly interesting course content. This course totally gives a new dimension to linear algebra. The fact that mathematical examples are implemented through programming exercises, really strengthens the concepts and makes it even more interesting.
von Maged F Y A•
1. Mai 2018
I would like to thank the instructors for their exceptional work. They are teaching mathematics with the aid of visualizations, which is not common within ordinary math classes. This way assists students to understand the physical interpretation of mathematical concepts.
von Phuong A N•
23. Juli 2020
It is quite hard course, especially coding.
the practice tests are very useful. Every test provides description which is very useful to review the lecture. Tests are challenging but if we make effort and invest time to think, read the instruction carefully, we can pass.
von Henry N•
5. Apr. 2020
Lectures are well-paced (although I was familiar with basics of working with vectors and matrices from high school mathematics). The assignments and quizzes were pitched at the right difficulty, just hard enough to be a challenge but not so hard as to be disheartening.
von Alireza S•
12. Okt. 2021
pretty nice course which contains linear algebra for machine learning. learned alot and had a lot of fun during the course and assignments. python assignments were great and challenging, final exam was so challenging. special thanks to instructors and Imperial College
von Fabian d A G•
7. Sep. 2021
Really good course to deep dive into Linear Algebra for ML. The course is fast paced, but you get plenty of opportunities to practise. A Python programming component is present, in which you translate the mathematical working into a computer program. Tough, but good.
von Pritam C•
19. Sep. 2020
Eigenvalue &Eigenvector, Matrix & Inverse Matrix, The Gram–Schmidt process, Page RanK.
I was weak in maths and my background was not that strong, But I learned here how to tackle with
wonderful lecture tutorials
I want to apply ML in my research in electric power system
von Dariusz P G•
10. März 2019
What an excellent lecturer.
I just wish that my mathematics teacher at school had had a tenth of the ability to impart knowledge.
This is a fantastic course and I will be doing the specialization later when I get some free time.
Thank you for a fantastic course.
von Deleted A•
23. Okt. 2020
It feels a bit intimidating at first!
Then you realize that it was a while ago since you needed this part of the brain.
Things might seem simple in some videos, but trust me it pays off in the end!
The last part of this specialisation requires you to be on your toes!
von Diogo P•
22. Juli 2019
This is an awesome course! You probably were like me, with a foundation in maths shaky due to poor understanding of the underlying principles. This course re-centers math around intuition, making it much easier to understand and apply the concepts with confidence.
von Andi S R•
23. Dez. 2019
I really like the approach of this course: build the intuition of the core concepts with an easy language and loads of examples. This has helped me a lot to understand finally the eigenvector and eigenvalues, for example. I strongly recommend to take this course.
von Maksim S•
21. Nov. 2021
Fantastic course. Sam presents the main idea in the summary: course gives understanding how mathematical skills can be applied to the real problems providing nice examples instead of blind drilling with number only. Thank you, I believe in magic of math again :)
von Prateek S•
25. Juni 2020
This was one of the best courses I have ever had. The courses structure was awesome and the instructors were very clear with what they were teaching. The assignments were good. Anyone with a fair understanding of high school algebra should be able to understand.
von AKSHAY K•
17. Mai 2021
Although we have learnt these topics way back in our high schools but here I get the real graphical and applicational understanding of the linear algebra. Now I can visualise thing that how it gonna work so it will definately open new doors to research for me.
von Muhammad Y A•
5. Sep. 2020
It's been really fun, It broadens my view about linear algebra and its relation with machine learning. It also helped me a lot to understand the topic which was in my college course. My favorite part was the Gaussian elimination and the Gram-Schmidt Process.
von SINGH S•
24. Mai 2020
I would like to say that this was one of the best courses that I've learned online during these difficult times of COVID-19 Pandemic. the teachers professor David Dye and Professor Samuel J Cooper were very friendly in teaching , all my concepts got cleared.
von Sol S•
17. Apr. 2021
A really great course for building foundational intuition around linear algebra. Great for data folks who are used to applying libraries (e.g. scikit-learn, numpy, scipy), but want to gain a deeper understanding of what the methods are doing under the hood.
von Juan M E•
6. Sep. 2020
Superb course! One of the best I have taken. I already knew linear algebra, but you always find rich tips and different ways of understanding the main topics. Congratulations to both professors. It is quite visible the passion they have and try to share it.